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Researcher · Imperial College London · United Kingdom

Daniel Rueckert

Daniel Rueckert publishes mostly in Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, on topics such as Medical Image Segmentation Techniques, Advanced MRI Techniques and Applications and Medical Imaging Techniques and Applications.

ORCID 0000-0002-5683-5889 OpenAlex
World rank
#35,916
of 7,710,434 ranked researchers
Rank in United Kingdom
#2,796
of 367,258
Works
1,525
Citations
97k
Citations per work
63.3
h-index
132
i10-index 691Top 0.1% in Radiology, Nuclear Medicine and Imaging
Daniel Rueckert

What does Daniel Rueckert research?

Daniel Rueckert's work is mostly in Medicine (35%), Computer Science (29%), Engineering (5%).

Health Sciences: 535 works · 35.1% of their workMedicine: 535 works · 35.1% of their workRadiology, Nuclear Medicine and Imaging: 392 works · 25.7% of their workPediatrics, Perinatology and Child Health: 84 works · 5.5% of their workCardiology and Cardiovascular Medicine: 59 works · 3.9% of their workPhysical Sciences: 509 works · 33.4% of their workComputer Science: 438 works · 28.7% of their workComputer Vision and Pattern Recognition: 278 works · 18.2% of their workArtificial Intelligence: 160 works · 10.5% of their workEngineering: 72 works · 4.7% of their workBiomedical Engineering: 72 works · 4.7% of their workEverything else: 480 works · 31.5% of their workTHEIR WORKDaniel Rueckert1,525works
Physical Sciences33%Health Sciences35%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Medicine53535.1%
    1. Computer Science43828.7%
    2. Engineering724.7%
  3. Everything else48031.5%
  1. 1Radiology, Nuclear Medicine and Imaging26% of their works
  2. 2Computer Vision and Pattern Recognition18% of their works
  3. 3Artificial Intelligence10% of their works
  4. 4Pediatrics, Perinatology and Child Health6% of their works
  5. 5Biomedical Engineering5% of their works
  6. 6Cardiology and Cardiovascular Medicine4% of their works

Research topics

Which keywords describe Daniel Rueckert's research?

The keywords of their largest research topics: Deep Learning, Texture Analysis, Magnetic Resonance Imaging, Image Segmentation, Medical Image Analysis, Perfusion Imaging, Spectroscopy and Neuroimaging.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 20 words, with their numbers
  1. Deep Learning7983 topics
  2. Texture Analysis5482 topics
  3. Magnetic Resonance Imaging4092 topics
  4. Image Segmentation3861 topic
  5. Medical Image Analysis3861 topic
  6. Perfusion Imaging3001 topic
  7. Spectroscopy3001 topic
  8. Neuroimaging2712 topics
  9. Imaging2021 topic
  10. PET/CT2021 topic
  11. Medical Imaging1621 topic
  12. Radiomics1621 topic
  13. Diffusion MRI1591 topic
  14. White Matter1591 topic
  15. Cerebral Development1121 topic
  16. Convolutional Neural Networks1121 topic
  17. Fetal MRI1121 topic
  18. Image Recognition1121 topic
  19. Cardiac Imaging1091 topic
  20. Coronary Artery Disease1091 topic

Where does Daniel Rueckert work?

Daniel Rueckert's main affiliation in the publication record is Imperial College London, United Kingdom.

How many publications and citations does Daniel Rueckert have?

OpenAlex counts 1,525 works and 96,607 citations for Daniel Rueckert, an h-index of 132, ranking #35,916 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Daniel Rueckert

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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